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  • 47.Cnf-1135
EngiTek Congresses with Published Papers
EngiTek 2020, Irbid
2
Papers Published at EngiTek 2020
All 2 Papers
IDAuthors and TitlePages
51.Cnf-17 Mr. Ameer Mubaslat
Mr. Ahmad Al Haj
Prof. Saud Khashan
Simulation assisted leak detection in pressurized systems using machine learning
1-6
51.Cnf-1062 Dr. Aqeed M. Chyad
Dr. Osama Abudayyeh
Dr. Maha Alkasisbeh
A Nonlinear Regression-Based Machine Learning Model for Predicting Concrete Bridge Deck Condition
7-11
47.Cnf-1135 Paper View Page
Title Image based microfluidic mixing evaluation technique
Authors Dr. Ruba Khnouf, Jordan University of Science and Technology, Irbid, Jordan
Dr. Areen Al-Bashir, Jordan University of Science and Technology, Irbid, Jordan
Ms. Ala'a Migdade, Jordan University of Science and Technology, Irbid, Jordan
Ms. Esraa Alshawwa, Jordan University of Science and Technology, Irbid, Jordan
Mrs. Arwa Faisal Mohammed Sheyab, Yarmouk University, Irbid, Jordan
Abstract Micromixers are considered an integral part in biomedical microfluidic applications because of important chemical and biological processes that require rapid and efficient mixing. In this work, flow regimes in throttle-T and square wave type micromixers are studied. The dependence of mixing efficiency on the geometry design is examined. Passive mixing methods with different flow rates at the inlets are studied experimentally using an imaging based technique. Moreover, a finite element model is used in order to study the mixing process of species in 500 µm and 400 µm - wide throttle and square wave microchannels, respectively. The results illustrated the effects of both flow rate and channel geometry on the mixing efficiency. Experimental studies at different flow rates are reported showing the same mixing tendency.
Track BME: Biomedical Engineering
Conference 1st International Conference on Electrical Engineering and Technologies (ElectriTek 2020)
Congress International Congress on Engineering Technologies (EngiTek 2020), 16-18 June 2020 (Remotely), Irbid, Jordan
Pages --1
Topics BioMEMS and Microfluidics
Biomedical Signal Processing
ISSN 2227-331X
DOI
BibTeX @inproceedings{1135EngiTek2020,
title={Image based microfluidic mixing evaluation technique},
author={Ruba Khnouf, and Areen Al-Bashir, and Ala'a Migdade, and Esraa Alshawwa, and Arwa Faisal Mohammed Sheyab},
booktitle={International Congress on Engineering Technologies (EngiTek 2020)},
year={2020},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 573 Paper Views Rank 100/525
Paper Downloads 197 Paper Downloads Rank 115/525
EngiTek 2020 Visits: 18387||ElectriTek 2020 Visits: 10028||BME Track Visits: 1685